Token Classification
Transformers
Safetensors
English
bert
finance
terminology
term-extraction
english
ner
Instructions to use owen4512/bert-base-cased-finance-term-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owen4512/bert-base-cased-finance-term-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="owen4512/bert-base-cased-finance-term-extractor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("owen4512/bert-base-cased-finance-term-extractor") model = AutoModelForTokenClassification.from_pretrained("owen4512/bert-base-cased-finance-term-extractor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f61509678a4809437c551aa0d262668777b796170b95dec90479118d3f4741a
- Size of remote file:
- 431 MB
- SHA256:
- b90df6ca802b65b9797e4864b5f4d0797fbc2942a41c32fb49b3895698707720
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